Lead AI Architect - Federal

About the Position

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future.

We are seeking a Lead AI Architect - Federal to join our Professional Services team. As a member of this team, AI Architects help position, sell, and support the DataRobot platform as the gold standard for AI in enterprises and overcome any barriers to delivering DataRobot for customers. You will work hand-in-hand with Customer Success, Sales, Product, Engineering, and Marketing to help us bring our platform to clients and prospects in the public sector space.

Responsibilities

• Provide technical expertise to support the installation, configuration, upgrading, and integration of DataRobot into customer environments.
• Lead professional services efforts to plan and execute successful installations, upgrades, and security accreditations in DataRobot’s Federal customer base.
• Deploy and operate DataRobot solutions within FedRAMP Authorized, IL5, and IL6 classified environments.
• Support pre-sales activities including architectural overviews, security review, and scoping of professional services activities.
• Keep up to date on the ever-evolving technologies for systems architecture, AI/ML, and LLM/MLOps.
• Work collaboratively with a broad range of people inside and outside the company.

Requirements

• Federal Domain Mastery: 7+ years in Federal engineering with 3+ years supporting IL5/IL6+ environments.
• Kubernetes and Secure Enclaves: Deep production expertise with AKS, EKS, or OpenShift.
• Infrastructure as Code (IaC): Advanced proficiency with Terraform/OpenTofu and Ansible/Puppet.
• Linux Hardening & SecOps: Hands-on mastery of Linux systems with a focus on STIG/CIS hardening and rapid CVE/vulnerability triage.
• System Administration: Operational support for production systems.
• Modern DevSecOps: Demonstrated experience building and maintaining CI/CD pipelines on Kubernetes.
• AI/ML Infrastructure: Understanding of the infrastructure requirements for AI/ML workloads.
• Strategic Communication: Excellent oral and written skills.
• Education: Bachelors in Computer Science or related technical field.
• Clearance: Active Secret clearance (required); TS/SCI (highly preferred).

Nice to Have

• Certified Kubernetes Administrator
• AWS Certified Solutions Architect or AWS Certified DevOps Engineer certification.

We Offer

• Competitive pay and benefits
• Medical, Dental & Vision Insurance
• Flexible Time Off Program
• Paid Holidays
• Paid Parental Leave
• Global Employee Assistance Program (EAP)

About the Company

DataRobot is committed to attracting and retaining the best talent by providing competitive pay and benefits with our employees’ well-being at the core. We are proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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Locations

Washington, DC, US - Remote